# Search JFK-LHR from Claude via MCP

**Use case:** 

JFK to LHR one-way search used when calling this actor from Claude through the official MCP server.

## Input

```json
{
  "endpoint": "oneway",
  "from_airport": "JFK",
  "to_airport": "LHR",
  "departure_date": "2026-11-24",
  "return_date": "2026-12-01",
  "limit": 10,
  "currency": "usd",
  "seat_type": 1,
  "passengers": [
    1
  ],
  "sort_type": "Overall",
  "use_fallback": false,
  "use_ext_proxy": true,
  "strict": false
}
```

## Output

```json
{
  "price_range_in_relation_to_other_periods": {
    "label": "Verdict",
    "format": "text"
  },
  "price_insights_low": {
    "label": "Band low",
    "format": "number"
  },
  "price_insights_high": {
    "label": "Band high",
    "format": "number"
  },
  "from_airport": {
    "label": "From",
    "format": "text"
  },
  "to_airport": {
    "label": "To",
    "format": "text"
  },
  "departure_date": {
    "label": "Depart",
    "format": "date"
  },
  "return_date": {
    "label": "Return",
    "format": "date"
  },
  "price": {
    "label": "Price",
    "format": "text"
  },
  "price_as_number": {
    "label": "Price number",
    "format": "number"
  },
  "total_price": {
    "label": "Total",
    "format": "text"
  },
  "total_price_as_number": {
    "label": "Total number",
    "format": "number"
  },
  "airline": {
    "label": "Airline",
    "format": "text"
  },
  "departure_flight_airline": {
    "label": "Out airline",
    "format": "text"
  },
  "return_flight_airline": {
    "label": "Return airline",
    "format": "text"
  },
  "stops": {
    "label": "Stops",
    "format": "number"
  },
  "duration": {
    "label": "Duration",
    "format": "text"
  },
  "buy_link": {
    "label": "Buy link",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Flights API · $1.85/1k](https://apify.com/mtnrabi/google-flights-real-time-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/mtnrabi/google-flights-real-time-api.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/mtnrabi/google-flights-real-time-api.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).